Manager Data Engineering

WHAT YOU'LL DO

Lead the architecture, design, and development of the enterprise data warehouse platform on Snowflake using medallion architecture (Bronze/Silver/Gold layers).

Oversee data ingestion, transformation, and modeling pipelines to ensure data accuracy, scalability, and performance across the business.

Manage a team of data engineers, BI developers, and analysts responsible for data integration, quality, governance, and reporting.

Build and optimize Tableau dashboards and reporting solutions to deliver actionable insights to business stakeholders.

Define and enforce data governance, security, and quality standards across data platforms.

Collaborate with business units, product owners, and executive leadership to define key metrics and support data‑driven decision‑making.

Lay the technical and architectural groundwork for AI/ML readiness, including data cataloging, feature engineering pipelines, and integration points with AI platforms.

Drive the roadmap for the data platform, balancing short‑term delivery needs with long‑term innovation and scalability.

Manage vendor relationships, contracts, and technical partnerships to support the data stack.

• This position will work a hybrid schedule from our Gilbert, AZ location.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 8+ years of experience in data engineering, data warehousing, or analytics, including 3+ years in a leadership or managerial role.
• Proven experience with Snowflake and cloud‑based data warehouse architecture (AWS, Azure, or GCP).
• Deep understanding of medallion architecture and its application in scalable data solutions.
• Strong experience with Tableau or similar BI tools (Power BI, Looker).
• Knowledge of ETL/ELT processes, data pipelines (e.g., dbt, Airflow, Fivetran), and modern data engineering best practices.
• Experience establishing data governance, lineage, and cataloging frameworks (e.g., Alation, Collibra, Unity Catalog).
• Familiarity with AI/ML platforms and the data requirements for operationalizing advanced analytics.
• Strong leadership, project management, and communication skills.
• Experience in highly regulated or enterprise‑scale environments.
• Knowledge of data privacy, compliance, and ethical considerations in data & AI.
• Certification in Snowflake, Tableau, or cloud data platforms is a plus.

• Flexible and generous paid time off
• Competitive medical, dental, vision and life insurance
• 401(k) employer matching program
• Parental leave
• Wellness resources
• Charitable matching program
• On‑site workout facilities (Leawood, Gilbert, Burlington)
• Community outreach groups

Equal Opportunity Employer. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.